Types of Road Traffic Accidents and Emergency Medical Care by Basri Lenjani, Agron Dogjani, Luljeta Abdullahu, Arlind Zeqiri, Dardan Lenjani, Bujar Imeri

“…Thus, the clinician should consider the clinical presentation of RTA and give due attention to the identified contributing factors in managing it. Law enforcers should also emphasize the identified types and mechanisms of accidents. …”
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A private Ethereum blockchain for organ donation and transplantation based on intelligent smart contracts by V. Sitharamulu, G. Sucharitha, Sachi Nandan Mohanty, Shaik Janbhasha, D. Kothandaraman

“…Modern organ transplant and donor procedures present numerous necessities and also obstacles related to Organ procurement, their delivery, and transplanting are all steps in the enrolment, matchmaking, and disposal process. …”
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An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

“…Our analysis applies these techniques using the Python programming language as a tool. It also considers words that describe symptoms related to hypoglycemia. …”
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Predicting Employee Turnover Using Machine Learning Techniques by Adil Benabou, Fatima Touhami, My Abdelouahed Sabri

“…Real-time monitoring and adaptive prediction could also enhance models, offering a dynamic approach to attrition management.…”
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Wearable Spine Tracker vs. Video-Based Pose Estimation for Human Activity Recognition by Jonas Walkling, Luca Sander, Arwed Masch, Thomas M. Deserno

“…We also explored the impact of hierarchical activity grouping and found that while it improved classification performance in some cases, the benefits were not consistent across all activities. …”
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Comparative Assessment of Data Quality Dimensions in Scientific Multimedia Indexing Process by Hamid Hassani, Azadeh Mohebi, Mohammad Javad Ershadi

“…Appropriate methods and algorithms are those that lead to the improvement of various aspects of quality in the process of organizing and retrieving information. …”
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DBN-BAAE: Enhanced Lightweight Anomaly Detection Mechanism with Boosting Adversarial Autoencoder by Yanru Chen, Bei Wu, Wang Zhong, Yanru Guo, Dizhi Wu, Yi Ren, Yuanyuan Zhang

“…Although current research has advanced anomaly detection, it is still challenging for algorithms to be capable of effectively balancing the interplay between training speed, computational cost, and accuracy while simultaneously exhibiting robust stability and adaptability. …”
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Application of edge computing technology in smart grid data security by Zhuo Cheng, Jiangxin Li, Jianjun Zhang, Chen Wang, Hui Wang, Juyin Wu

“…The experimental results indicate that: The total running time required for executing proxy authorization and verification, proxy key generation, signature and decryption algorithms in this scheme is 5.617 ms, with a ciphertext length of 80 Bytes. …”
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Distributed hybrid consensus–based square-root cubature quadrature information filter and its application to maneuvering target tracking by Jun Liu, Yu Liu, Kai Dong, Ziran Ding, You He, Qichao Li

“…The simulation results show that the proposed hybrid consensus–based square-root cubature quadrature information filter outperforms the existing algorithms at the expense of a slight increase in computational cost.…”
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Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

“…Future extensions may include the implementation of Python interfaces and machine learning algorithms for data simulation, enabling more accurate predictive models. …”
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Comparison of artificial intelligence approaches for estimating wind energy production: A real-world case study by Mohamed Bousla, Mohamed Belfkir, Ali Haddi, Youness El Mourabit, Badre Bossoufi

“…The present work investigates several forecasting methodologies for wind energy by employing sophisticated machine learning algorithms, including Support Vector Machines and Recurrent Neural Networks. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
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Metaheuristics for Order Scheduling Problem with Unequal Ready Times by Jan-Yee Kung, Jiahui Duan, Jianyou Xu, I-Hong Chung, Shuenn-Ren Cheng, Chin-Chia Wu, Win-Chin Lin

“…For approximate solution, four simulated annealing approaches and four heuristic genetic algorithms are then proposed. At last, several experimental tests and their corresponding statistical outcomes are also reported to examine the performance of all the proposed methods.…”
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Multidimensional geographic factors behind conflicts: a case study in Sudan by Yu Gong, Xi Li, Samir Belabbes, Luca Dell'Oro, Yuanxi Ru

“…In this study, we developed an event-grid dataset, consisting of 50,033 observations with 20 variables derived from nighttime light (NTL) data, OpenStreetMap data, and other geographic data. Machine learning algorithms were employed to model the outbreak of conflict in 2023. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…In this conceptual review, we discussed here, the opportunities for the fusion of artificial intelligence and animal-inspired robotics to revolutionize our ability to study wildlife and also empower us to implement more effective and sustainable conservation practices. …”
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Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event by Francisca Santana-Robles, Eva Selene Hernández-Gress, Ricardo Martínez-López, Isidro Jesús González-Hernández

“…Leveraging existing algorithms, particularly Integer Linear Programming, the model determines shelter activation and utilizes the Vehicle Routing Problem to assess aid delivery strategies. …”
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Harnessing quantum power: Revolutionizing materials design through advanced quantum computation by Zikang Guo, Rui Li, Xianfeng He, Jiang Guo, Shenghong Ju

“…The review also highlights advanced active learning strategies that integrate quantum artificial intelligence, offering a more efficient pathway to explore the vast, complex material design space. …”
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 Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life by Sejin Paik, Ekaterina Novozhilova, Kate K. Mays, James E. Katz

“…Women consistently perceive AI as less beneficial and more harmful across all contexts compared to men, reflecting broader gendered concerns about algorithmic decision-making Ethnicity differences also emerge, with Hispanic and Other minority groups (including Asian, Indigenous, and Native American individuals) reporting higher perceived benefits from AI. …”
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Cotton Fiber Micronaire and Relations to Fiber HVI and AFIS Qualities Between Deltapine^® and PhytoGen Upland Varieties by Yongliang Liu, Doug J. Hinchliffe

“…MIC development benefited fiber HVI strength enhancement and also HVI short fiber index (SFI), AFIS neps, AFIS short fiber contents, and AFIS immature fiber content (IFC) reduction, all of which were desired. …”
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Evaluation of a Transparent Display's Pixel Structure Regarding Subjective Quality of Diffracted See-Through Images by Zong Qin, Jing Xie, Fang-Cheng Lin, Yi-Pai Huang, Han-Ping D. Shieh

“…Additionally, physical reasons why these aspects of pixel structure perform in such a manner are also given.…”
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